Full Stack Engineer

Há 4 dias

São Paulo, São Paulo, Brasil Time Doctor Tempo inteiro R$90.000 - R$120.000 por ano

About Time Doctor

Time Doctor is a productivity analytics platform used by thousands of companies worldwide to measure, understand, and improve how work gets done. With over 150 team members across 45+ countries, we're fully remote, async-first, and deeply global in how we operate.

Why Join Us?

  • 100% remote team that values async autonomy and flexibility
  • Join a mission-driven company shaping the future of work
  • Strong product-market fit with tens of thousands of users—and growing
  • Work with a global, humble, high-performing team
  • Competitive compensation and 30+ days PTO

As a Full Stack Developer at Time Doctor, you will play a pivotal role in developing end-to-end solutions for our web applications. Reporting directly to the Engineering Team Lead, you'll contribute to both front-end and back-end development, ensuring a seamless and innovative user experience that aligns with growth strategies

Full Stack Development:

  • Collaborate with the Engineering team to design, develop, test, and deploy scalable and efficient full-stack applications.
  • Implement features across both front-end and back-end components, ensuring cohesive functionality.

Cross-Functional Collaboration:

  • Work closely with Front End Engineers, Back End Developers, and other cross-functional teams to integrate and optimize application features.
  • Participate in collaborative brainstorming sessions to contribute ideas for growth-focused experiments and features.

User Experience Enhancement:

  • Contribute to the enhancement of user interfaces, collaborating with UI/UX designers to implement visually appealing and intuitive designs.
  • Optimize front-end components for improved user engagement and conversion rates.

API Development:

  • Design and develop robust APIs to support seamless integration between front-end and back-end systems.
  • Ensure the security, scalability, and efficiency of API endpoints used in the application.

Performance Optimization:

  • Monitor and analyze the performance of full-stack applications, identifying and addressing bottlenecks.
  • Optimize code for speed, scalability, and overall performance.

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